Job Summary

We are seeking a skilled Data Engineer to join our team at NCR VOYIX Corporation. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure to support our advanced analytics and business intelligence initiatives. You will work with various data sources and technologies to ensure data quality, accessibility, and reliability.

Key Responsibilities

Design and implement ELT pipelines using PySpark and Databricks Workflows.

Implement Data lakehouse architecture and optimize data storage and retrieval for performance and cost efficiency.

Write efficient, reusable, and scalable Python code for data processing and automation tasks.

Orchestrate complex workflows using Azure Data Factory and integrate with other Azure services.

Collaborate with analysts and data scientists to model and deliver trusted datasets.

Monitor and troubleshoot data pipelines, ensuring high availability and reliability.

Knowledge of CI/CD pipelines, Dev Ops practices, and version control (Git).

Required Skills





7+ years in data engineering; 2+ years with Databricks.

Strong PySpark — Data Frames, Spark SQL, window functions, UDFs.

Advanced SQL — complex joins, CTEs, aggregations, query optimization.

Experience with Delta Lake — ACID transactions, time travel, schema evolution.

Familiarity with Unity Catalog, data lineage, and access control.

Cloud experience: Azure (ADLS Gen2, ADF) or AWS/GCP equivalent.

Comfortable with Git, notebooks-as-code, and automated testing.

Knowledge of Finance and Sales domain would be positive to have.

This job description outlines the primary duties and responsibilities of the role and is not intended to be exhaustive. The employee may be required to undertake additional duties and projects that are consistent with their skills, capabilities, and the overall purpose of the position.

Offers of employment are conditional upon passage of screening criteria applicable to the job

📌 Data Engineer (II) (India)
🏢 NCR
📍 India